Improving code coverage

Code coverage improvement with Runbooks involves using AI to analyze your existing test suite, identify coverage gaps, and automatically generate comprehensive tests to improve overall code coverage. Unlike manual test writing that can miss edge cases and be time-consuming, Runbooks can systematically ensure all code paths are tested with meaningful, maintainable test cases.

When to use

Ideal scenarios

  • Low test coverage

  • Legacy code testing

  • Critical path validation

  • Regression prevention

  • Ci/cd quality gates

Perfect for teams that

  • Need to meet specific code coverage targets for compliance or quality

  • Have legacy codebases with minimal test coverage

  • Want to improve confidence in deployments and releases

  • Need to add tests quickly without sacrificing quality

  • Struggle with writing comprehensive edge case tests

Code coverage improvement strategies

Available coverage enhancement templates

Unit test generation

  • Generates comprehensive unit tests for untested functions and methods

  • Creates tests for edge cases and boundary conditions

  • Implements proper mocking and isolation patterns

  • Adds parameterized tests for multiple input scenarios

Integration test creation

  • Builds integration tests for component interactions

  • Tests API endpoints with various input combinations

  • Validates database operations and data flow

  • Creates end-to-end workflow testing

Edge case and error handling tests

  • Identifies and tests error conditions and exception paths

  • Creates tests for boundary values and invalid inputs

  • Validates error messages and recovery mechanisms

  • Tests timeout and resource constraint scenarios

Regression test suite development

  • Converts bug reports into permanent regression tests

  • Creates tests that prevent specific issues from reoccurring

  • Builds comprehensive test suites for critical business logic

  • Implements property-based testing for complex scenarios

Without using templates

1. Coverage analysis and gap identification

Start by describing your coverage improvement goals:

What Runbooks does:

  • Analyzes your current test suite and coverage reports

  • Identifies specific functions, classes, and code paths lacking coverage

  • Maps critical business logic that requires comprehensive testing

  • Creates a prioritized plan focusing on high-risk, low-coverage areas

2. Coverage gap analysis

Runbooks performs comprehensive analysis:

  • Line coverage

  • Branch coverage

  • Function coverage

  • Edge case coverage

  • Integration points

3. Test generation strategy

The AI creates a systematic test generation plan:

  1. Critical path coverage

  2. Edge case generation

  3. Integration testing

  4. Regression prevention

  5. Maintenance strategy

4. Implementation and validation

Runbooks implements coverage improvements systematically:

  • Generates tests that follow existing project patterns and conventions

  • Creates meaningful test names and clear assertions

  • Implements proper setup and teardown procedures

  • Validates that new tests actually improve meaningful coverage

Real-world code coverage examples

Example 1: Payment processing coverage

Uncovered payment function:

Generated comprehensive test suite:

Example 2: Error handling coverage

Uncovered error handling logic:

Generated error handling test suite:


See also

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